Autonomous AI-Driven Quant Researcher

Sharpe Search; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Sharpe Search is seeking an elite quantitative researcher to build a self-improving hedge fund powered by AI-driven models. The candidate will own the end-to-end research lifecycle, from idea generation to production, with significant equity and extreme ownership.

Ideal candidates hold a PhD in a quantitative field and 7+ years of experience across multiple firms, with deep expertise in factor models, risk decomposition, and portfolio optimization.

Qualifications

• PhD in a quantitative field with 7+ years of research across multiple firms.
• Deep knowledge of factor models, risk decomposition, and portfolio optimization.
• Proficiency in Python for end-to-end research and production, with clear writing.

Responsibilities

• Develop and evaluate alphas across horizons and data types.
• Own optimizer design, numerical conditioning, and solver behavior.
• Summarize research findings in clear reports and productionize successful ideas.

Skills

Python

Statistical analysis

Quantitative research

Written communication

Education

PhD in Mathematics/Statistics/Physics/EECS or equivalent

Tools

Python (SciPy)

Job description

Sharpe Search is seeking an elite quantitative researcher to build a self-improving hedge fund powered by AI-driven models. The candidate will own the end-to-end research lifecycle, from idea generation to production, with significant equity and extreme ownership.

Ideal candidates hold a PhD in a quantitative field and 7+ years of experience across multiple firms, with deep expertise in factor models, risk decomposition, and portfolio optimization.